What is the standard approach to handle OAuth token refresh during high-concurrency JMeter load tests without hitting 429s? We are running a stress test against the Genesys Cloud Platform API to determine the breaking point for concurrent authentication requests. The setup involves JMeter 5.6.2 hitting the POST /login/oauth/v2/token endpoint with a ramp-up of 500 users over 60 seconds. We are seeing a massive spike in 429 Too Many Requests errors specifically on the token endpoint, even though our application-level rate limits seem fine. The X-RateLimit-Remaining header drops to zero almost instantly after the ramp-up starts. We are using the client_credentials grant type. Is there a specific pattern or cache strategy recommended for load testing scenarios to avoid flooding the auth server? We tried implementing a token cache in JMeter using a simple CSV file, but the synchronization issues between threads cause race conditions and stale token usage. The environment is Genesys Cloud US-East-1. We need to validate the platform’s capacity for token issuance under load, but the current rate limiting is masking the actual API throughput limits. Any guidance on how to structure the test to respect the auth rate limits while still measuring backend capacity? We are currently stuck at a concurrency of just 50 users before the auth layer blocks us. The error response body indicates the rate limit window is 1 second. This seems extremely restrictive for a load test. We are looking for best practices or alternative endpoints that might be less restricted for testing purposes. We do not want to modify the production rate limits. We just need to understand the correct way to simulate high-volume auth without breaking the test. The current approach is failing hard. We are seeing 401 errors mixed with the 429s. This is making it impossible to get a clean baseline for our capacity planning. We are using the latest version of the Genesys Cloud Java SDK for reference, but the JMeter tests are raw HTTP requests. Any help would be appreciated. We are trying to avoid hiring a third-party load testing firm if we can figure this out ourselves. The documentation is sparse on this specific use case. We are mostly focused on the platform_api side of things. The WebSocket connections are stable, but the auth layer is the bottleneck. We are in Asia/Singapore time, so our testing windows are limited. We need a solution that works within our current constraints. We are not experts in OAuth, so simple explanations are preferred. We just want to get the test running without hitting the wall. The current error rate is unacceptable for a valid load test. We are seeing this consistently across multiple runs. The issue is reproducible. We have checked the network latency, and it is not the cause. The problem is definitely the rate limiting on the token endpoint. We are trying to simulate a real-world scenario where many agents log in simultaneously. This is a common use case for our clients. We need to ensure the platform can handle it. The current behavior suggests it cannot, but we suspect our test is flawed. We are looking for validation of our approach or a correction. We are open to changing the test design if needed. We just need to know what the correct way is. We have tried reducing the concurrency, but that defeats the purpose of the stress test. We are trying to find the breaking point, not stay within safe limits. The safe limits are already known. We are pushing beyond them. The auth layer is stopping us before we reach the API layer. This is frustrating. We have spent days trying to debug this. We have checked the logs. We have checked the headers. We have checked the timing. Everything points to the rate limit. We are not sure how to proceed. We are hoping someone here has faced this before. We are new to this level of load testing. We are learning as we go. We appreciate any pointers. We are trying to build a robust test suite. This is a critical component. We cannot ignore it. We need to solve it. We are stuck. Please help. We are running out of time. The project deadline is approaching. We need to deliver results. We cannot deliver with 429s everywhere. We need a clean test. We need the correct way to do this. What is the correct way? We are asking because we are confused. The documentation does not cover this. The support tickets are slow. We are turning to the community. We hope someone knows. We are desperate for a solution. We are tired of guessing. We want to know the truth. What is the limit? How do we work around it? Is there a way to whitelist our test IPs? We asked support, and they said no. So we are back to square one. We are trying to be clever. We are trying to be smart. We are trying to be efficient. We are failing. We need help. Please. 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